User-Friendly Tools for Random Matrices I

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=pyYwzu9le_w


Duration: 1:04:02
6,749 views
95

Joel Tropp, California Institute of Technology
Big Data Boot Camp
http://simons.berkeley.edu/talks/joel-tropp-2013-09-03a



Other Videos By Simons Institute for the Theory of Computing


2013-09-10Streaming, Sketching and Sufficient Statistics I
2013-09-10High-Dimensional Statistics II
2013-09-10High-Dimensional Statistics I
2013-09-10Optimization I
2013-09-10Optimization II
2013-09-10User-Friendly Tools for Random Matrices II
2013-09-10Past, Present and Future of Randomized Numerical Linear Algebra II
2013-09-10Past, Present and Future of Randomized Numerical Linear Algebra I
2013-09-09Algorithmic High-Dimensional Geometry II
2013-09-09User-Friendly Tools for Random Matrices III
2013-09-09User-Friendly Tools for Random Matrices I
2013-09-09Algorithmic High-Dimensional Geometry I
2013-09-09Big Data: The Computation/Statistics Interface
2013-09-05Testing Surface Area
2013-09-04Generalizations of the KKL Theorem and Friedgut's Junta Theorem
2013-09-04MCMC Learning
2013-09-04Fourier PCA
2013-09-04Association Schemes, Non-Commutative Polynomials and Lasserre Lower Bounds for Planted Clique
2013-09-04Agnostic Learning Over Permutation Invariant Distributions
2013-09-04Local Combinatorics, Or: What To Do With All Those Gigantic Graphs?
2013-09-04Locally Testable Codes and Cayley Graphs


Tags:
Simons Institute
Big Data
UC Berkeley
computer science
theory of computing
Joel Tropp